StormForge’s Brian Likosar shows how machine learning can be used to optimally configure apps deployed in Kubernetes to ensure performance and efficiency.
StormForge’s Brian Likosar shows how machine learning can be used to optimally configure apps deployed in Kubernetes to ensure performance and efficiency.
Brian Likosar (“liko” pronounced lick-OH, preferred pronouns he/him) is an open source geek with a passion for working at the intersection of people and technology. Throughout his career, he's been involved in open source - whether that was with Linux, Ansible, and OpenShift/Kubernetes while at Red Hat, Apache Kafka while at Confluent, or Apache Flink while at AWS. He’s based in the Chicago area and enjoys horror, sports, live music, and theme parks.
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